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Reactive oxygen species (ROS) are generated in the body and related to many pathophysiological processes. Hence, detection of ROS is indispensable in understanding, diagnosis, and treatment of many diseases. Here, near‐infrared (NIR) chemiluminescent (CL) carbon nanodots (CDs) are fabricated for the first time and their CL quantum yield can reach 9.98 × 10−3 einstein mol−1, which is the highest value ever reported for CDs until now. Nanointegration of NIR CDs and peroxalate (P‐CDs) through the bridging effect of amphiphilic triblock copolymer can serve as turn‐on probes for the detection and imaging of hydrogen peroxide (H2O2). Considering high efficiency and large penetration depth of NIR photons, the P‐CDs are employed in bioimaging H2O2 in vitro and in vivo, and the detection limit can reach 5 × 10−9 m, among the best reported of CDs‐based sensors. Moreover, imaging of inflammatory H2O2 in a mouse model of peritonitis is achieved by employing the P‐CDs as sensors. The results may provide a clue for the diagnosis and treatment of inflammation or cancers employing CL CDs as sensors. NIR carbon nanodots (CDs) with efficient chemiluminescence are developed. Nanointegration of NIR CDs and peroxalate can serve as turn‐on probes for bioimaging of exogenous and endogenous H2O2 in vitro and in vivo with the detection limit is 5 × 10−9 m. Bioimaging inflammatory H2O2 in a mouse model of peritonitis is achieved.

It is argued in this paper that a multimodal analysis of turn-taking, one of the core areas of conversation analytic research, is needed and has to integrate gaze as one of the most central resources for allocating turns, and that new technologies are available that can provide a solid and reliable empirical foundation for this analysis. On the basis of eye-tracking data of spontaneous conversations, it is shown that gaze is the most ubiquitous next-speaker-selection technique. It can function alone or enhance other techniques. I also discuss the interrelationship between the strength for sequential projection and the choice of next-speaker-selection techniques by a current speaker. The appropriate consideration of gaze leads to a revision of the turn-taking model in that it reduces the domain of self-selection and expands that of the current-speaker-selects-next sub-rule. It also has consequences for the analysis of “simultaneous starts”.

Excessive Cu 2+ intake can cause neurological disorders (e.g. Wilson’s disease) and adversely affect the gastrointestinal, liver, and kidney organs. The presence of Cu 2+ is strongly linked to the emergence and progression of Wilson's disease (WD), and accurately measuring the amount of copper is a crucial step in diagnosing WD at an early stage in a clinical setting. In this work, CQDs were fabricated through a facile technique as a novel fluorescence-based sensing platform for detecting Cu(II) in aqueous solutions, and in the serum samples of healthy and affected individuals by WD. The CQDs interact with Cu(II) ions to produce Turn-on and Turn-off states at nano-molar and micro-molar levels, respectively, with LODs of 0.001 µM and 1 µM. In fact, the Cu 2+ ions can act like a bridge between two CQDs by which the charge and electron transfer between the CQDs may increase, possibly can have significant effects on the spectroscopic features of the CQDs. To the best of our knowledge, this is the first reported research that can detect Cu(II) at low levels using two different complexation states, with promising results in testing serum. The potential of the sensor to detect Cu(II) was tested on serum samples from healthy and affected individuals by WD, and compared to results obtained by ICP-OES. Astonishingly, the results showed an excellent correlation between the measured Cu(II) levels using the proposed technique and ICP-OES, indicating the high potential of the fluorimetric CQD-based probe for Cu(II) detection. The accuracy, sensitivity, selectivity, high precision, accuracy, and applicability of the probe toward Cu(II) ions make it a potential diagnostic tool for Wilson's disease in a clinical setting.

In pursuit of enhancing the performance of power converters, high-frequency power devices have become indispensable due to their superior switching capabilities, reduced conduction loss, and enhanced thermal performance. However, optimizing their efficiency requires a profound comprehension of the interplay between various parameters (the current, voltage, and gate resistance) on switching dynamics and power losses. This study presents a comprehensive framework of loss characterization with multi-parametric variations. The influence of drain-source current (Ids), DC voltage (Vdc), and gate resistor (Rg) on switching and conduction losses are explicitly quantified. A significant contribution of this study lies in the comprehensive analytical and empirical characterization of the turn-on and turn-off power dissipation dynamics in SiC MOSFETs, emphasizing the intricate interplay between parameters and efficiency. Conventional studies primarily focus on empirical loss characterization, yet this work advances the field by introducing a predictive loss model that systematically correlates Rg, Ids, and Vdc variations with induced switching dynamics, and EMI mitigation strategies. Increasing Rg effectively suppresses voltage overshoots and mitigates ringing effects, concurrently prolonging switching events, thereby broadening the power dissipation profile and influencing system-level performance. Furthermore, this study rigorously evaluates the commutation behavior of the SiC MOSFET/SBD pair, providing an in-depth examination of its dynamic loss characterization under varying conditions. This novel insight establishes a crucial framework for efficiency drive optimization.

Purpose Service robots can offer benefits to consumers (e.g. convenience, flexibility, availability, efficiency) and service providers (e.g. cost savings), but a lack of trust hinders consumer adoption. To enhance trust, firms add human-like features to robots; yet, anthropomorphism theory is ambiguous about their appropriate implementation. This study therefore aims to investigate what is more effective for fostering trust: appearance features that are more human-like or social functioning features that are more human-like. Design/methodology/approach In an experimental field study, a humanoid service robot displayed gaze cues in the form of changing eye colour in one condition and static eye colour in the other. Thus, the robot was more human-like in its social functioning in one condition (displaying gaze cues, but not in the way that humans do) and more human-like in its appearance in the other (static eye colour, but no gaze cues). Self-reported data from 114 participants revealing their perceptions of trust, anthropomorphism, interaction comfort, enjoyment and intention to use were analysed using partial least squares path modelling. Findings Interaction comfort moderates the effect of gaze cues on anthropomorphism, insofar as gaze cues increase anthropomorphism when comfort is low and decrease it when comfort is high. Anthropomorphism drives trust, intention to use and enjoyment. Research limitations/implications To extend human–robot interaction literature, the findings provide novel theoretical understanding of anthropomorphism directed towards humanoid robots. Practical implications By investigating which features influence trust, this study gives managers insights into reasons for selecting or optimizing humanoid robots for service interactions. Originality/value This study examines the difference between appearance and social functioning features as drivers of anthropomorphism and trust, which can benefit research on self-service technology adoption.

Hypochlorous acid (HClO), a key member of the reactive oxygen species, has an impact on both normal and abnormal functioning of a wide range of organisms. To deeply investigate the function of HClO in organisms and its impact on health status, there is an urgent need to develop efficient detection techniques in the biomedical field. Herein, a highly selective and sensitive hypochlorite fluorescent probe (Py‐DA) was designed and synthesized. Photophysical property tests and response behavior studies of Py‐DA showed high‐performance turn‐on detection of HClO/ClO−, including fast response, high sensitivity, excellent selectivity, and strong anti‐interference capabilities. Significantly, the emission intensity showed a good linear relationship with HClO/ClO− concentration in the range of 0–30.0 μM, and the detection limit was as low as 37.8 nM. In addition, convenient on‐site rapid (∼1 s) visual identification of aqueous HClO/ClO− was also realized via Py‐DA‐based paper strips. Furthermore, Py‐DA with good photo‐stability and low cytotoxicity has been successfully applied for HClO/ClO− imaging in human cervical cancer cells (HeLa). The results of this study provide new ideas for further investigation of the physiological and pathological effects of HClO. We prepared a “turn‐on” fluorescent probe Py‐DA for high‐performance recognition of HClO/ClO− at room temperature, which exhibits fast response rates (<5 s), excellent selectivity, strong anti‐interference capabilities, superior sensitivity, and low detection limits (37.8 nM). Convenient rapid visual smartphone identification and fluorescent imaging in living cells of HClO/ClO− were also successfully realized.

Children’s early language exposure impacts their later linguistic skills, cognitive abilities, and academic achievement, and large disparities in language exposure are associated with family socioeconomic status (SES). However, there is little evidence about the neural mechanisms underlying the relation between language experience and linguistic and cognitive development. Here, language experience was measured from home audio recordings of 36 SES-diverse 4- to 6-year-old children. During a story-listening functional MRI task, children who had experienced more conversational turns with adults—independently of SES, IQ, and adult-child utterances alone—exhibited greater left inferior frontal (Broca’s area) activation, which significantly explained the relation between children’s language exposure and verbal skill. This is the first evidence directly relating children’s language environments with neural language processing, specifying both an environmental and a neural mechanism underlying SES disparities in children’s language skills. Furthermore, results suggest that conversational experience impacts neural language processing over and above SES or the sheer quantity of words heard.

Current differential protection, using either phase currents or negative-sequence components, is commonly applied for the sensitive protection of power transformers. However, this method proves insufficient for autotransformers, particularly when their tertiary winding is fully loaded, as demonstrated in this paper. To address this limitation, the authors’ previously proposed negative-sequence integral approach for power transformers has been adapted and evaluated for three-winding autotransformers. The results show that this integral protection offers significantly higher sensitivity than current differential schemes while maintaining security during external faults with current transformer saturation.

Using video recordings of draft meetings conducted as part of an intramural basketball program as data, this conversation analytic study examines the use of an incomplete utterance in a joint evaluative activity. In particular, we focus on how the participants, volunteer coaches, who meet to draft players for their respective teams, produce a syntactically incomplete utterance as a means to critically assess a player, a non-present third party to the interaction. Analysis reveals that the participants use an incomplete utterance as part of dispreferred design; it allows them to withhold articulating overt criticism of others. By trailing off where the criticism is due, the participants display reluctance to verbalize what is to be said and treat its articulation as delicate. The syntactic structure of the utterance that includes a contrastive conjunction (‘but’) and accompanying embodied actions such as head shakes help them convey a critical stance. We examine the use of incomplete utterances in both agreement and disagreement sequences; the recipients display their unproblematic understanding of the critical assessment and respond by providing their own assessments that either affiliate or disaffiliate with the conveyed critical stance.

The duration of inter-speaker pauses is a pragmatically salient aspect of conversation that is affected by linguistic and non-linguistic context. Theories of conversational turn-taking imply that, due to listener entrainment to the flow of syllables, a higher speech rate will be associated with shorter turn-transition times (TTT). Previous studies have found conflicting evidence, however, some of which may be due to methodological differences. In order to test the relationship between speech rate and TTT, and how this may be modulated by other dialogue factors, we used question-answer sequences from spontaneous conversational corpora in Dutch and English. As utterance-final lengthening is a local cue to turn endings, we also examined the impact of utterance-final syllable rhyme duration on TTT. Using mixed-effect linear regression models, we observed evidence for a positive relationship between speech rate and TTT: thus, a higher speech rate is associated with longer TTT, contrary to most theoretical predictions. Moreover, for answers following a pause (“gaps”) there was a marginal interaction between speech rate and final rhyme duration, such that relatively long final rhymes are associated with shorter TTT when foregoing speech rate is high. We also found evidence that polar (yes/no) questions are responded to with shorter TTT than open questions, and that direct answers have shorter TTT than responses that do not directly answer the questions. Moreover, the effect of speech rate on TTT was modulated by question type. We found no predictors of the (negative) TTT for answers that overlap with the foregoing questions. Overall, these observations suggest that TTT is governed by multiple dialogue factors, potentially including the salience of utterance-final timing cues. Contrary to some theoretical accounts, there is no strong evidence that higher speech rates are consistently associated with shorter TTT.